Elizabeth Berry-Kravis is professor of child neurology at Rush University Medical Center in Chicago.
Elizabeth Berry-Kravis
Professor
Rush University Medical Center
From this contributor
Analysis offers new hope for failed fragile X drug
Eye tracking shows that mavoglurant, a once-abandoned experimental drug for fragile X syndrome, enters the brain and boosts social interest, says Elizabeth Berry-Kravis.
Analysis offers new hope for failed fragile X drug
Questions for Elizabeth Berry-Kravis: Dodging mouse traps
A mouse model of fragile X syndrome lacks a key feature of the condition, prompting researchers to look for other ways to test treatments.
Questions for Elizabeth Berry-Kravis: Dodging mouse traps
Questions for Elizabeth Berry-Kravis: Measuring drug effects
Drugs designed to treat fragile X syndrome have yet to show substantial benefits in people. But rather than abandon them, child neurologist Elizabeth Berry-Kravis suggests a new way to measure their effectiveness.
Questions for Elizabeth Berry-Kravis: Measuring drug effects
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Single-gene systems-level effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 6 April.
Single-gene systems-level effects, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 6 April.
‘The Brain, In Theory,’ an excerpt
In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming, and the universality of neural network models.
‘The Brain, In Theory,’ an excerpt
In his new book, Brette pushes back against theories that describe the brain as a “biological computer.” In this excerpt from Chapter 4, he challenges equating brain evolution with programming, and the universality of neural network models.
Computational neuroscientist Keith Hengen explains his work through illustrations
The images help him communicate the “big-picture ideas” behind the mathematical principles of neuronal networks.
Computational neuroscientist Keith Hengen explains his work through illustrations
The images help him communicate the “big-picture ideas” behind the mathematical principles of neuronal networks.